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Visual Computing for Industry, Biomedicine, and Art
Fig. 8 | Visual Computing for Industry, Biomedicine, and Art

Fig. 8

From: Intensity-curvature functional based digital high pass filter of the bivariate cubic B-spline model polynomial function

Fig. 8

Comparative study across filtering techniques. Top row (from left to right): MRI, HPF, reconstructed MRI through HPF (R_HPF), PSO-based HPF, and reconstructed MRI through PSO (R_PSO). Second row: ICF of B32D, ICF of G42D, reconstructed MRI through ICF of B32D (R_B32D), and reconstructed MRI through ICF of G42D (R_G42D). Third row from the top: ICF of H32D, ICF of H42D, reconstructed MRI through ICF of H32D (R_H32D), and reconstructed MRI through ICF of H42D (R_H42D). Bottom row: ICF of LGR2D, ICF of SRE2D, reconstructed MRI through ICF of LGR2D (R_LGR2D), and reconstructed MRI through ICF of SRE2D (R_SRE2D)

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